Publications

Neele Falk, Eva Maria Vecchi, Iman Jundi, and Gabriella Lapesa. Moderation in the Wild: Investigating User-Driven Moderation in Online Discussions. In Yvette Graham, and Matthew Purver (Eds.), The 18th Conference of the European Chapter of the Association for Computational Linguistics - proceedings of the conference, (1):992-1013, Association for Computational Linguistics (ACL), 2024. [PUMA: mult ubs_10005 ubs_20008 ubs_30081 ubs_40110 ubs_40111 unibibliografie wos]

Lucas Möller, Dmitry Nikolaev, and Sebastian Pado. Approximate Attributions for Off-the-Shelf Siamese Transformers. In Yvette Graham, and Matthew Purver (Eds.), The 18th Conference of the European Chapter of the Association for Computational Linguistics - proceedings of the conference, (1):2059-2071, Association for Computational Linguistics (ACL), Kerrville, TX, 2024. [PUMA: ubs_10005 ubs_20008 ubs_30081 ubs_40111 unibibliografie wos]

Maximilian Maurer, Tanise Ceron, Sebastian Padó, and Gabriella Lapesa. Toeing the party line : Election manifestos as a key to understand political discourse on Twitter. In Yaser Al-Onaizan, Mohit Bansal, and Yun-Nung Chen (Eds.), Findings of the Association for Computational Linguistics : EMNLP 2024, 6115-6130, Association for Computational Linguistics, 2024. [PUMA: sent ubs_10005 ubs_20008 ubs_30081 ubs_40111 unibibliografie]

Dojun Park, and Sebastian Padó. Multi-Dimensional Machine Translation Evaluation : Model Evaluation and Resource for Korean. 2024. [PUMA: sent ubs_10005 ubs_20008 ubs_30081 ubs_40111 unibibliografie]

Iffat Maab, Edison Marrese-Taylor, Sebastian Padó, and Yutaka Matsuo. Media Bias Detection Across Families of Language Models. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, (1 : Long papers):4083-4098, Association for Computational Linguistics, 2024. [PUMA: sent ubs_10005 ubs_20008 ubs_30081 ubs_40111 unibibliografie] URL

Sean Papay, Roman Klinger, and Sebastian Padó. Regular-pattern-sensitive CRFs for Distant Label Interactions. 2024. [PUMA: sent ubs_10005 ubs_20008 ubs_30081 ubs_40111 unibibliografie]

Lucas Möller, Dmitry Nikolaev, and Sebastian Padó. Approximate Attributions for Off-the-Shelf Siamese Transformers. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, (1 : Long papers):2059-2071, Association for Computational Linguistics, 2024. [PUMA: sent ubs_10005 ubs_20008 ubs_30081 ubs_40111 unibibliografie] URL

Lucas Möller, Pascal Tilli, Ngoc Thang Vu, and Sebastian Padó. Explaining Vision-Language Similarities in Dual Encoders with Feature-Pair Attributions. 2024. [PUMA: mult sent ubs_10005 ubs_20008 ubs_30081 ubs_40111 ubs_40407 unibibliografie]

Lucas Möller, and Sebastian Padó. Explaining Neural News Recommendation with Attributions onto Reading Histories. ACM Transactions on Intelligent Systems and Technology, (16)1:7, Association for Computing Machinery, 2024. [PUMA: sent ubs_10005 ubs_20008 ubs_30081 ubs_40111 unibibliografie]

Marianna Apidianaki, Abdellah Fourtassi, and Sebastian Padó. Language Learning, Representation, and Processing in Humans and Machines : Introduction to the Special Issue. Computational Linguistics, (50)4:1201-1210, MIT Press, 2024. [PUMA: oa sent ubs_10005 ubs_20008 ubs_30081 ubs_40111 unibibliografie]

Sungjun Han, and Sebastian Padó. Towards Understanding the Relationship between In-context Learning and Compositional Generalization. In Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 16664-16679, 2024. [PUMA: sent ubs_10005 ubs_20008 ubs_30081 ubs_40111 unibibliografie] URL

Agnieszka Falenska, and Özlem Çetinoğlu. Lexicalized vs. Delexicalized Parsing in Low-Resource Scenarios. In Yusuke Miyao, and Kenji Sagae (Eds.), Proceedings of the 15th International Conference on Parsing Technologies, 18-24, Association For Computational Linguistics, 2017. [PUMA: sent ubs_10005 ubs_20008 ubs_30081 ubs_40111 unibibliografie] URL

Xiang Yu, Agnieszka Falenska, Marina Haid, Ngoc Thang Vu, and Jonas Kuhn. IMSurReal : IMS at the Surface Realization Shared Task 2019. In Simon Mille, Anja Belz, Bernd Bohnet, Yvette Graham, and Leo Wanner (Eds.), Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019), 50-58, Association For Computational Linguistics, 2019. [PUMA: mult sent ubs_10005 ubs_20008 ubs_30081 ubs_40110 ubs_40111 ubs_40407 unibibliografie]

Agnieszka Falenska, Zoltàn Czesznak, Kerstin Jung, Moritz Völkel, Wolfgang Seeker, and Jonas Kuhn. GRAIN-S : Manually Annotated Syntax for German Interviews. In Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, and Stelios Piperidis (Eds.), Proceedings of the Twelfth Language Resources and Evaluation Conference, 5169-5177, European Language Resources Association, Paris, 2020. [PUMA: mult sent ubs_10005 ubs_20008 ubs_30081 ubs_40110 ubs_40111 unibibliografie] URL

Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu, and Jonas Kuhn. Head-First Linearization with Tree-Structured Representation. In Kees van Deemter, Chenghua Lin, and Hiroya Takamura (Eds.), Proceedings of the 12th International Conference on Natural Language Generation, 279-289, Association For Computational Linguistics, 2019. [PUMA: mult sent ubs_10005 ubs_20008 ubs_30081 ubs_40110 ubs_40111 unibibliografie]

Agnieszka Falenska, Anders Björkelund, Xiang Yu, and Jonas Kuhn. IMS at the PolEval 2018 : A Bulky Ensemble Depedency Parser meets 12 Simple Rules for Predicting Enhanced Dependencies in Polish. In Maciej Ogrodniczuk, and Łukasz Kobyliński (Eds.), Proceedings of the PolEval 2018 Workshop, 25-40, Institute of Computer Science, Polish Academy of Sciences, Warsaw, 2018. [PUMA: mult sent ubs_10005 ubs_20008 ubs_30081 ubs_40110 ubs_40111 unibibliografie] URL

Agnieszka Falenska, Anders Björkelund, and Jonas Kuhn. Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era. In Gosse Bouma, Yuji Matsumoto, Stephan Oepen, Kenji Sagae, Djamé Seddah, Weiwei Sun, Anders Søgaard, Reut Tsarfaty, and Dan Zeman (Eds.), Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 25-39, Association For Computational Linguistics, 2020. [PUMA: mult sent ubs_10005 ubs_20008 ubs_30081 ubs_40110 ubs_40111 unibibliografie]

Anders Björkelund, Agnieszka Falenska, Xiang Yu, and Jonas Kuhn. IMS at the CoNLL 2017 UD Shared Task : CRFs and Perceptrons Meet Neural Networks. In Jan Hajič, and Dan Zeman (Eds.), Proceedings of the CoNLL 2017 Shared Task : Multilingual Parsing from Raw Text to Universal Dependencies, 40-51, Association For Computational Linguistics, 2017. [PUMA: mult sent ubs_10005 ubs_20008 ubs_30081 ubs_40110 ubs_40111 unibibliografie]

Anders Björkelund, Agnieszka Falenska, Wolfgang Seeker, and Jonas Kuhn. How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents. In Katrin Erk, and Noah A. Smith (Eds.), Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, (1 : Long Papers):1924-1934, Association For Computational Linguistics, 2016. [PUMA: mult sent ubs_10005 ubs_20008 ubs_30081 ubs_40110 ubs_40111 unibibliografie]

Katrin Schweitzer, Kerstin Eckart, Markus Gärtner, Agnieszka Falenska, Arndt Riester, Ina Rösiger, Antje Schweitzer, Sabrina Stehwien, and Jonas Kuhn. German Radio Interviews : The GRAIN Release of the SFB732 Silver Standard Collection. In Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, and Takenobu Tokunaga (Eds.), Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), European Language Resources Association (ELRA), Paris, 2018. [PUMA: mult sent ubs_10005 ubs_20008 ubs_30081 ubs_40110 ubs_40111 unibibliografie] URL